The primary concern in this context is the potential for media and technology to collect, store, and use personal information without individuals' consent or knowledge, leading to a loss of control over their data.

Social media platforms have played a significant role in raising privacy concerns due to their ability to collect vast amounts of personal data from users, often without their explicit consent.

Data mining refers to the process of extracting and analyzing large amounts of data, often personal information, from various sources for commercial purposes, without individuals' consent.

The GDPR is a comprehensive legal framework adopted by the European Union to protect individuals' privacy rights and regulate the processing of personal data by organizations.

Privacy laws and regulations aim to achieve multiple objectives, including preventing the misuse of personal information, ensuring transparency in data collection and processing, and promoting responsible data governance practices.

The principle of autonomy emphasizes the importance of respecting individuals' right to make decisions about their own lives, including how their personal data is collected and used.

Data analytics refers to the process of collecting, cleaning, and analyzing data to extract meaningful insights and patterns, often using statistical methods and machine learning techniques.

Blockchain technology allows individuals to securely store and manage their personal data on a decentralized network, giving them greater control over who can access and use it.

A data breach occurs when personal information is accessed or stolen without authorization, often due to security vulnerabilities or malicious attacks.

Facial recognition technology raises concerns about false positives and misidentifications, surveillance and tracking without consent, and the potential for discrimination based on facial characteristics.

Big data analytics involves collecting, cleaning, and analyzing large and complex datasets to uncover hidden patterns, correlations, and insights.

Cookies can be used to track users' online activities, sell their personal data to third parties, and deliver targeted advertising based on their browsing history.

Encryption involves converting plaintext into ciphertext using a mathematical algorithm, making it unreadable to unauthorized parties.

Location-based services can track users' movements, share their personal data with third parties, and deliver targeted advertising based on their location.

Personalization involves collecting and analyzing personal data to create tailored recommendations, content, and experiences that are relevant to individual users.